Sökning: "bioinformatics"

Visar resultat 1 - 5 av 187 uppsatser innehållade ordet bioinformatics.

  1. 1. Prediction of multiple conformational states of membrane proteins

    Master-uppsats, Linköpings universitet/Bioinformatik

    Författare :Tobias Thorén; [2024]
    Nyckelord :Bioinformatics; Protein prediction; AlphaFold;

    Sammanfattning : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. LÄS MER

  3. 2. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Författare :Erik Everett Palm; [2023]
    Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

  4. 3. Analyzing the performance of active learning strategies on machine learning problems

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Vendela Werner; [2023]
    Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

  5. 4. Detection of root borne pathogen causing pea root rot by using minion sequencing

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Aderemi Olubode; [2023]
    Nyckelord :;

    Sammanfattning : Pea (Pisum sativum L.) is the most cultivated pulse in the temperate zone, economically important with high nutritional value (high protein content of 20-30%) and relatively low cost. Root rot is its predominant disease, it is referred to as root rot complex because it involves many pathogens. LÄS MER

  7. 5. From Plant Genetic Resource Conservation to Digital Biorepositories: A Coming Paradigm Shift in Ex-Situ Conservation?

    Master-uppsats, Lunds universitet/Ekonomisk-historiska institutionen

    Författare :Christopher Keegan; [2023]
    Nyckelord :Bioinformatics; Genebanks; Genetic Engineering; Mixed-Methods; Multi-Disciplinary; Patent Analysis; Plant Genetic Resources; Synthetic Biology; Technological Trajectories; Business and Economics;

    Sammanfattning : Plant Genetic Resource Conservation has been a staple of agricultural development for the past century. Recently, several prominent papers have raised alarm surrounding the development of synthetic biology techniques and their potential to render modern practices and methods of conservation in the global genebank network obsolete. LÄS MER